Amber Biology is proud to announce that our book Python For The Life Sciences is now available via Leanpub
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There’s hardly a life science lab you can walk into these days, without seeing a ton of 96-well plates ...
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A little while back on The Digital Biologist, we published a 2-part introduction to Bayes’ Theorem ...
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A new paper involving Amber Biology consultants, illustrates the power of bioinformatics to find intriguing features in proteomes …
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… the life science Big Data scene is largely Big Hype.
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Data is not knowledge. Data can reveal relationships between events –
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Cheap “computing as a utility” has the potential to bring scientific large-scale analyses within reach of smaller organizations ...
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It’s often widely assumed that decisions made by algorithms are more “neutral” and “fair” than those made by people.
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The sad passing of evolutionary computation and genetic algorithm pioneer John H. Holland earlier this week ...
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The application of calculus to the deterministic modeling of biological systems however, can be problematic ...
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Actionable insights that can be gained by the application of Bayesian analysis to the design of biomarkers ...
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Why is Bayes’ Theorem so useful and what does it have to teach us as life scientists?
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Biological modeling is not yet in the mainstream of biological research in the way that it is in other scientific and technical areas like physics and engineering ...
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Early developments in biological modeling hold the potential to forge a knowledge revolution in biology and to bring modeling into the mainstream of biological research …
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If you’re a biological modeler, chances are there are two words that keep you up at night. Those two words are combinatorial complexity …
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